Current Status

Dataset statistics

Number of variables	34
Number of observations	1000
Missing cells	370
Missing cells (%)	1.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	265.8 KiB
Average record size in memory	272.1 B

Variable types

Numeric	15
Categorical	19

Alerts

`Unique Identifier` is highly correlated with `Product`	High correlation
`How much do you like or dislike the PACKAGING for this product? - value` is highly correlated with `How much do you like or dislike the PACKAGING for this product? - label` and 2 other fields	High correlation
`Open the packaging. How much do you like or dislike the APPEARANCE of the products? - value` is highly correlated with `How much do you like or dislike the PACKAGING for this product? - label` and 10 other fields	High correlation
`Taste the products. How do you like the products OVERALL? - value` is highly correlated with `Open the packaging. How much do you like or dislike the APPEARANCE of the products? - label` and 12 other fields	High correlation
`How much do you like or dislike the FLAVOR of the products? - value` is highly correlated with `Open the packaging. How much do you like or dislike the APPEARANCE of the products? - label` and 12 other fields	High correlation
`How much do you like or dislike the TEXTURE of the products? - value` is highly correlated with `Open the packaging. How much do you like or dislike the APPEARANCE of the products? - label` and 10 other fields	High correlation
`How much do you like or dislike the AFTERTASTE of the products? - value` is highly correlated with `Open the packaging. How much do you like or dislike the APPEARANCE of the products? - label` and 10 other fields	High correlation
`Product` is highly correlated with `Unique Identifier`	High correlation
`What is your gender? - label` is highly correlated with `What is your gender? - value`	High correlation
`What is your gender? - value` is highly correlated with `What is your gender? - label`	High correlation
`What is your age group? - label` is highly correlated with `What is your age group? - value`	High correlation
`What is your age group? - value` is highly correlated with `What is your age group? - label`	High correlation
`How much do you like or dislike the PACKAGING for this product? - label` is highly correlated with `How much do you like or dislike the PACKAGING for this product? - value` and 2 other fields	High correlation
`Before tasting the product, how likely would you be to purchase this product, if you didn't have to buy it for this study? - label` is highly correlated with `Before tasting the product, how likely would you be to purchase this product, if you didn't have to buy it for this study? - value` and 2 other fields	High correlation
`Before tasting the product, how likely would you be to purchase this product, if you didn't have to buy it for this study? - value` is highly correlated with `Before tasting the product, how likely would you be to purchase this product, if you didn't have to buy it for this study? - label` and 2 other fields	High correlation
`Open the packaging. How much do you like or dislike the APPEARANCE of the products? - label` is highly correlated with `How much do you like or dislike the PACKAGING for this product? - label` and 10 other fields	High correlation
`How would you rate the AMOUNT OF SEASONING of the products? - label` is highly correlated with `How would you rate the AMOUNT OF SEASONING of the products? - value` and 4 other fields	High correlation
`How would you rate the AMOUNT OF SEASONING of the products? - value` is highly correlated with `How would you rate the AMOUNT OF SEASONING of the products? - label` and 4 other fields	High correlation
`Taste the products. How do you like the products OVERALL? - label` is highly correlated with `Open the packaging. How much do you like or dislike the APPEARANCE of the products? - label` and 12 other fields	High correlation
`How much do you like or dislike the FLAVOR of the products? - label` is highly correlated with `Open the packaging. How much do you like or dislike the APPEARANCE of the products? - label` and 12 other fields	High correlation
`How would you rate the FLAVOR of the products? - label` is highly correlated with `How would you rate the AMOUNT OF SEASONING of the products? - label` and 8 other fields	High correlation
`How would you rate the FLAVOR of the products? - value` is highly correlated with `How would you rate the AMOUNT OF SEASONING of the products? - label` and 8 other fields	High correlation
`How much do you like or dislike the TEXTURE of the products? - label` is highly correlated with `Open the packaging. How much do you like or dislike the APPEARANCE of the products? - label` and 10 other fields	High correlation
`How much do you like or dislike the AFTERTASTE of the products? - label` is highly correlated with `Open the packaging. How much do you like or dislike the APPEARANCE of the products? - label` and 10 other fields	High correlation
`Now that you have tasted the products, how likely would you be to re-purchase the products? - label` is highly correlated with `Before tasting the product, how likely would you be to purchase this product, if you didn't have to buy it for this study? - label` and 14 other fields	High correlation
`Now that you have tasted the products, how likely would you be to re-purchase the products? - value` is highly correlated with `Before tasting the product, how likely would you be to purchase this product, if you didn't have to buy it for this study? - label` and 14 other fields	High correlation
`Taste the products. How do you like the products OVERALL? - label` has 98 (9.8%) missing values	Missing
`Taste the products. How do you like the products OVERALL? - value` has 98 (9.8%) missing values	Missing
`Now that you have tasted the products, how likely would you be to re-purchase the products? - label` has 87 (8.7%) missing values	Missing
`Now that you have tasted the products, how likely would you be to re-purchase the products? - value` has 87 (8.7%) missing values	Missing
`Unique Identifier` is uniformly distributed	Uniform
`Product` is uniformly distributed	Uniform
`Unique Identifier` has unique values	Unique

Reproduction

Analysis started	2022-12-12 18:42:02.503369
Analysis finished	2022-12-12 18:44:40.703126
Duration	2 minutes and 38.2 seconds
Software version	pandas-profiling v3.4.0
Download configuration	config.json

Unique Identifier
Real number (ℝ_≥0)

HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	1000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	100500.5

Minimum	100001
Maximum	101000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	100001
5-th percentile	100050.95
Q1	100250.75
median	100500.5
Q3	100750.25
95-th percentile	100950.05
Maximum	101000
Range	999
Interquartile range (IQR)	499.5

Descriptive statistics

Standard deviation	288.8194361
Coefficient of variation (CV)	0.002873810937
Kurtosis	-1.2
Mean	100500.5
Median Absolute Deviation (MAD)	250
Skewness	0
Sum	100500500
Variance	83416.66667
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100001	1	0.1%
100672	1	0.1%
100659	1	0.1%
100660	1	0.1%
100661	1	0.1%
100662	1	0.1%
100663	1	0.1%
100664	1	0.1%
100665	1	0.1%
100666	1	0.1%
Other values (990)	990	99.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
100001	1	0.1%
100002	1	0.1%
100003	1	0.1%
100004	1	0.1%
100005	1	0.1%
100006	1	0.1%
100007	1	0.1%
100008	1	0.1%
100009	1	0.1%
100010	1	0.1%

Value	Count	Frequency (%)
101000	1	0.1%
100999	1	0.1%
100998	1	0.1%
100997	1	0.1%
100996	1	0.1%
100995	1	0.1%
100994	1	0.1%
100993	1	0.1%
100992	1	0.1%
100991	1	0.1%

Product
Categorical

HIGH CORRELATION
UNIFORM

Distinct	5
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

A	200
B	200
C	200
D	200
E	200

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	A
2nd row	B
3rd row	B
4th row	B
5th row	B

Common Values

Value	Count	Frequency (%)
A	200	20.0%
B	200	20.0%
C	200	20.0%
D	200	20.0%
E	200	20.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
a	200	20.0%
b	200	20.0%
c	200	20.0%
d	200	20.0%
e	200	20.0%

Most occurring characters

Value	Count	Frequency (%)
A	200	20.0%
B	200	20.0%
C	200	20.0%
D	200	20.0%
E	200	20.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1000	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	200	20.0%
B	200	20.0%
C	200	20.0%
D	200	20.0%
E	200	20.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	200	20.0%
B	200	20.0%
C	200	20.0%
D	200	20.0%
E	200	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	200	20.0%
B	200	20.0%
C	200	20.0%
D	200	20.0%
E	200	20.0%

What is your gender? - label
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

Female	865
Male	135

Length

Max length	6
Median length	6
Mean length	5.73
Min length	4

Characters and Unicode

Total characters	5730
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Female
2nd row	Female
3rd row	Female
4th row	Male
5th row	Female

Common Values

Value	Count	Frequency (%)
Female	865	86.5%
Male	135	13.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
female	865	86.5%
male	135	13.5%

Most occurring characters

Value	Count	Frequency (%)
e	1865	32.5%
a	1000	17.5%
l	1000	17.5%
F	865	15.1%
m	865	15.1%
M	135	2.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4730	82.5%
Uppercase Letter	1000	17.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1865	39.4%
a	1000	21.1%
l	1000	21.1%
m	865	18.3%

Uppercase Letter

Value	Count	Frequency (%)
F	865	86.5%
M	135	13.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5730	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1865	32.5%
a	1000	17.5%
l	1000	17.5%
F	865	15.1%
m	865	15.1%
M	135	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5730	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	1865	32.5%
a	1000	17.5%
l	1000	17.5%
F	865	15.1%
m	865	15.1%
M	135	2.4%

What is your gender? - value
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

2	865
1	135

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	1
5th row	2

Common Values

Value	Count	Frequency (%)
2	865	86.5%
1	135	13.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2	865	86.5%
1	135	13.5%

Most occurring characters

Value	Count	Frequency (%)
2	865	86.5%
1	135	13.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	865	86.5%
1	135	13.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	1000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	865	86.5%
1	135	13.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	865	86.5%
1	135	13.5%

What is your age group? - label
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

35-44	358
18-34	337
45-55	237
56-64	68

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	5000
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	35-44
2nd row	45-55
3rd row	18-34
4th row	45-55
5th row	18-34

Common Values

Value	Count	Frequency (%)
35-44	358	35.8%
18-34	337	33.7%
45-55	237	23.7%
56-64	68	6.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
35-44	358	35.8%
18-34	337	33.7%
45-55	237	23.7%
56-64	68	6.8%

Most occurring characters

Value	Count	Frequency (%)
4	1358	27.2%
5	1137	22.7%
-	1000	20.0%
3	695	13.9%
1	337	6.7%
8	337	6.7%
6	136	2.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4000	80.0%
Dash Punctuation	1000	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	1358	34.0%
5	1137	28.4%
3	695	17.4%
1	337	8.4%
8	337	8.4%
6	136	3.4%

Dash Punctuation

Value	Count	Frequency (%)
-	1000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	1358	27.2%
5	1137	22.7%
-	1000	20.0%
3	695	13.9%
1	337	6.7%
8	337	6.7%
6	136	2.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	1358	27.2%
5	1137	22.7%
-	1000	20.0%
3	695	13.9%
1	337	6.7%
8	337	6.7%
6	136	2.7%

What is your age group? - value
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

3	358
2	337
4	237
5	68

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1000
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	4
3rd row	2
4th row	4
5th row	2

Common Values

Value	Count	Frequency (%)
3	358	35.8%
2	337	33.7%
4	237	23.7%
5	68	6.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3	358	35.8%
2	337	33.7%
4	237	23.7%
5	68	6.8%

Most occurring characters

Value	Count	Frequency (%)
3	358	35.8%
2	337	33.7%
4	237	23.7%
5	68	6.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	358	35.8%
2	337	33.7%
4	237	23.7%
5	68	6.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	1000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	358	35.8%
2	337	33.7%
4	237	23.7%
5	68	6.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	358	35.8%
2	337	33.7%
4	237	23.7%
5	68	6.8%

How much do you like or dislike the PACKAGING for this product? - label
Categorical

HIGH CORRELATION

Distinct	8
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

Like Very Much (8)	360
Like Moderately (7)	239
Like Extremely (9)	223
Like Slightly (6)	100
Neither Like nor Dislike (5)	49
Other values (3)	29

Length

Max length	28
Median length	18
Mean length	18.694
Min length	17

Characters and Unicode

Total characters	18694
Distinct characters	36
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	Neither Like nor Dislike (5)
2nd row	Like Very Much (8)
3rd row	Like Very Much (8)
4th row	Like Extremely (9)
5th row	Like Very Much (8)

Common Values

Value	Count	Frequency (%)
Like Very Much (8)	360	36.0%
Like Moderately (7)	239	23.9%
Like Extremely (9)	223	22.3%
Like Slightly (6)	100	10.0%
Neither Like nor Dislike (5)	49	4.9%
Dislike Slightly (4)	25	2.5%
Dislike Moderately (3)	3	0.3%
Dislike Extremely (1)	1	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
like	971	28.1%
very	360	10.4%
much	360	10.4%
8	360	10.4%
moderately	242	7.0%
7	239	6.9%
extremely	224	6.5%
9	223	6.4%
slightly	125	3.6%
6	100	2.9%
Other values (7)	254	7.3%

Most occurring characters

Value	Count	Frequency (%)
	2458	13.1%
e	2439	13.0%
i	1301	7.0%
k	1049	5.6%
(	1000	5.3%
)	1000	5.3%
L	971	5.2%
y	951	5.1%
r	924	4.9%
l	794	4.2%
Other values (26)	5807	31.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10827	57.9%
Space Separator	2458	13.1%
Uppercase Letter	2409	12.9%
Open Punctuation	1000	5.3%
Close Punctuation	1000	5.3%
Decimal Number	1000	5.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2439	22.5%
i	1301	12.0%
k	1049	9.7%
y	951	8.8%
r	924	8.5%
l	794	7.3%
t	640	5.9%
h	534	4.9%
u	360	3.3%
c	360	3.3%
Other values (8)	1475	13.6%

Decimal Number

Value	Count	Frequency (%)
8	360	36.0%
7	239	23.9%
9	223	22.3%
6	100	10.0%
5	49	4.9%
4	25	2.5%
3	3	0.3%
1	1	0.1%

Uppercase Letter

Value	Count	Frequency (%)
L	971	40.3%
M	602	25.0%
V	360	14.9%
E	224	9.3%
S	125	5.2%
D	78	3.2%
N	49	2.0%

Space Separator

Value	Count	Frequency (%)
	2458	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1000	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	13236	70.8%
Common	5458	29.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2439	18.4%
i	1301	9.8%
k	1049	7.9%
L	971	7.3%
y	951	7.2%
r	924	7.0%
l	794	6.0%
t	640	4.8%
M	602	4.5%
h	534	4.0%
Other values (15)	3031	22.9%

Common

Value	Count	Frequency (%)
	2458	45.0%
(	1000	18.3%
)	1000	18.3%
8	360	6.6%
7	239	4.4%
9	223	4.1%
6	100	1.8%
5	49	0.9%
4	25	0.5%
3	3	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18694	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2458	13.1%
e	2439	13.0%
i	1301	7.0%
k	1049	5.6%
(	1000	5.3%
)	1000	5.3%
L	971	5.2%
y	951	5.1%
r	924	4.9%
l	794	4.2%
Other values (26)	5807	31.1%

How much do you like or dislike the PACKAGING for this product? - value
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	8
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.515

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	1
5-th percentile	5
Q1	7
median	8
Q3	8
95-th percentile	9
Maximum	9
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.26228696
Coefficient of variation (CV)	0.16796899
Kurtosis	1.145100253
Mean	7.515
Median Absolute Deviation (MAD)	1
Skewness	-1.010784136
Sum	7515
Variance	1.593368368
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
8	360	36.0%
7	239	23.9%
9	223	22.3%
6	100	10.0%
5	49	4.9%
4	25	2.5%
3	3	0.3%
1	1	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.1%
3	3	0.3%
4	25	2.5%
5	49	4.9%
6	100	10.0%
7	239	23.9%
8	360	36.0%
9	223	22.3%

Value	Count	Frequency (%)
9	223	22.3%
8	360	36.0%
7	239	23.9%
6	100	10.0%
5	49	4.9%
4	25	2.5%
3	3	0.3%
1	1	0.1%

In scale 1-10 how much do you think this description match with the product PACKAGING - FUN
Real number (ℝ_≥0)

Distinct	8
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.268

Minimum	2
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	2
5-th percentile	3
Q1	5
median	7
Q3	8
95-th percentile	8
Maximum	9
Range	7
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.779703162
Coefficient of variation (CV)	0.2839347737
Kurtosis	-0.8025680246
Mean	6.268
Median Absolute Deviation (MAD)	1
Skewness	-0.6037771088
Sum	6268
Variance	3.167343343
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
8	346	34.6%
5	195	19.5%
7	181	18.1%
3	104	10.4%
6	98	9.8%
4	47	4.7%
9	16	1.6%
2	13	1.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	13	1.3%
3	104	10.4%
4	47	4.7%
5	195	19.5%
6	98	9.8%
7	181	18.1%
8	346	34.6%
9	16	1.6%

Value	Count	Frequency (%)
9	16	1.6%
8	346	34.6%
7	181	18.1%
6	98	9.8%
5	195	19.5%
4	47	4.7%
3	104	10.4%
2	13	1.3%

In scale 1-10 how much do you think this description match with the product PACKAGING - CONVENIENT
Real number (ℝ_≥0)

Distinct	8
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.175

Minimum	2
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	2
5-th percentile	3
Q1	5
median	6
Q3	8
95-th percentile	8
Maximum	9
Range	7
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.696836543
Coefficient of variation (CV)	0.274791343
Kurtosis	-0.7449215087
Mean	6.175
Median Absolute Deviation (MAD)	1
Skewness	-0.489523227
Sum	6175
Variance	2.879254254
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
8	289	28.9%
5	230	23.0%
7	190	19.0%
6	126	12.6%
3	87	8.7%
4	49	4.9%
9	16	1.6%
2	13	1.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	13	1.3%
3	87	8.7%
4	49	4.9%
5	230	23.0%
6	126	12.6%
7	190	19.0%
8	289	28.9%
9	16	1.6%

Value	Count	Frequency (%)
9	16	1.6%
8	289	28.9%
7	190	19.0%
6	126	12.6%
5	230	23.0%
4	49	4.9%
3	87	8.7%
2	13	1.3%

In scale 1-10 how much do you think this description match with the product PACKAGING - FAMILIAR
Real number (ℝ_≥0)

Distinct	9
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.295

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	5
median	7
Q3	8
95-th percentile	8
Maximum	9
Range	8
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.715493491
Coefficient of variation (CV)	0.2725168373
Kurtosis	-0.5796709765
Mean	6.295
Median Absolute Deviation (MAD)	1
Skewness	-0.6493695393
Sum	6295
Variance	2.942917918
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
8	318	31.8%
7	210	21.0%
5	183	18.3%
6	119	11.9%
3	87	8.7%
4	54	5.4%
9	17	1.7%
2	10	1.0%
1	2	0.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2	0.2%
2	10	1.0%
3	87	8.7%
4	54	5.4%
5	183	18.3%
6	119	11.9%
7	210	21.0%
8	318	31.8%
9	17	1.7%

Value	Count	Frequency (%)
9	17	1.7%
8	318	31.8%
7	210	21.0%
6	119	11.9%
5	183	18.3%
4	54	5.4%
3	87	8.7%
2	10	1.0%
1	2	0.2%

In scale 1-10 how much do you think this description match with the product PACKAGING - CHEAP
Real number (ℝ_≥0)

Distinct	8
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.923

Minimum	1
Maximum	8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	3
median	3
Q3	5
95-th percentile	8
Maximum	8
Range	7
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.735535388
Coefficient of variation (CV)	0.4424000479
Kurtosis	-0.2080430348
Mean	3.923
Median Absolute Deviation (MAD)	1
Skewness	0.8117094103
Sum	3923
Variance	3.012083083
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
3	335	33.5%
2	199	19.9%
5	178	17.8%
4	111	11.1%
7	61	6.1%
8	54	5.4%
6	53	5.3%
1	9	0.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	9	0.9%
2	199	19.9%
3	335	33.5%
4	111	11.1%
5	178	17.8%
6	53	5.3%
7	61	6.1%
8	54	5.4%

Value	Count	Frequency (%)
8	54	5.4%
7	61	6.1%
6	53	5.3%
5	178	17.8%
4	111	11.1%
3	335	33.5%
2	199	19.9%
1	9	0.9%

In scale 1-10 how much do you think this description match with the product PACKAGING - BORING
Real number (ℝ_≥0)

Distinct	8
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.236

Minimum	1
Maximum	8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	3
95-th percentile	7
Maximum	8
Range	7
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.531224559
Coefficient of variation (CV)	0.4731843506
Kurtosis	1.697225621
Mean	3.236
Median Absolute Deviation (MAD)	1
Skewness	1.375782727
Sum	3236
Variance	2.344648649
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
3	424	42.4%
2	285	28.5%
5	97	9.7%
4	59	5.9%
1	45	4.5%
6	32	3.2%
8	30	3.0%
7	28	2.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	45	4.5%
2	285	28.5%
3	424	42.4%
4	59	5.9%
5	97	9.7%
6	32	3.2%
7	28	2.8%
8	30	3.0%

Value	Count	Frequency (%)
8	30	3.0%
7	28	2.8%
6	32	3.2%
5	97	9.7%
4	59	5.9%
3	424	42.4%
2	285	28.5%
1	45	4.5%

In scale 1-10 how much do you think this description match with the product PACKAGING - INDIFFERENT
Real number (ℝ_≥0)

Distinct	9
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.253

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	3
median	4
Q3	5
95-th percentile	8
Maximum	9
Range	8
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.805062118
Coefficient of variation (CV)	0.4244209071
Kurtosis	-0.5644492591
Mean	4.253
Median Absolute Deviation (MAD)	1
Skewness	0.6197897812
Sum	4253
Variance	3.258249249
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
3	317	31.7%
5	179	17.9%
2	134	13.4%
4	130	13.0%
6	86	8.6%
8	75	7.5%
7	68	6.8%
1	9	0.9%
9	2	0.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	9	0.9%
2	134	13.4%
3	317	31.7%
4	130	13.0%
5	179	17.9%
6	86	8.6%
7	68	6.8%
8	75	7.5%
9	2	0.2%

Value	Count	Frequency (%)
9	2	0.2%
8	75	7.5%
7	68	6.8%
6	86	8.6%
5	179	17.9%
4	130	13.0%
3	317	31.7%
2	134	13.4%
1	9	0.9%

In scale 1-10 how much do you think this description match with the product PACKAGING - PLAIN
Real number (ℝ_≥0)

Distinct	9
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.536

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	3
median	4
Q3	6
95-th percentile	8
Maximum	9
Range	8
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.898501596
Coefficient of variation (CV)	0.4185409161
Kurtosis	-0.8786599253
Mean	4.536
Median Absolute Deviation (MAD)	1
Skewness	0.4763923327
Sum	4536
Variance	3.604308308
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
3	296	29.6%
5	187	18.7%
4	121	12.1%
2	107	10.7%
8	106	10.6%
7	87	8.7%
6	86	8.6%
1	6	0.6%
9	4	0.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	6	0.6%
2	107	10.7%
3	296	29.6%
4	121	12.1%
5	187	18.7%
6	86	8.6%
7	87	8.7%
8	106	10.6%
9	4	0.4%

Value	Count	Frequency (%)
9	4	0.4%
8	106	10.6%
7	87	8.7%
6	86	8.6%
5	187	18.7%
4	121	12.1%
3	296	29.6%
2	107	10.7%
1	6	0.6%

In scale 1-10 how much do you think this description match with the product PACKAGING - PREMIUM
Real number (ℝ_≥0)

Distinct	9
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.059

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	3
median	5
Q3	7
95-th percentile	8
Maximum	9
Range	8
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.034615113
Coefficient of variation (CV)	0.4021773301
Kurtosis	-1.259246406
Mean	5.059
Median Absolute Deviation (MAD)	2
Skewness	0.06273491791
Sum	5059
Variance	4.139658659
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
3	225	22.5%
5	183	18.3%
8	167	16.7%
7	129	12.9%
6	110	11.0%
2	93	9.3%
4	81	8.1%
1	6	0.6%
9	6	0.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	6	0.6%
2	93	9.3%
3	225	22.5%
4	81	8.1%
5	183	18.3%
6	110	11.0%
7	129	12.9%
8	167	16.7%
9	6	0.6%

Value	Count	Frequency (%)
9	6	0.6%
8	167	16.7%
7	129	12.9%
6	110	11.0%
5	183	18.3%
4	81	8.1%
3	225	22.5%
2	93	9.3%
1	6	0.6%

Before tasting the product, how likely would you be to purchase this product, if you didn't have to buy it for this study? - label
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

Probably would purchase (4)	299
Definitely would purchase (5)	293
Might or might not purchase (3)	256
Probably would not purchase (2)	114
Definitely would not purchase (1)	38

Length

Max length	33
Median length	31
Mean length	29.294
Min length	27

Characters and Unicode

Total characters	29294
Distinct characters	31
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Definitely would purchase (5)
2nd row	Probably would purchase (4)
3rd row	Probably would purchase (4)
4th row	Definitely would purchase (5)
5th row	Definitely would purchase (5)

Common Values

Value	Count	Frequency (%)
Probably would purchase (4)	299	29.9%
Definitely would purchase (5)	293	29.3%
Might or might not purchase (3)	256	25.6%
Probably would not purchase (2)	114	11.4%
Definitely would not purchase (1)	38	3.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
purchase	1000	21.4%
would	744	16.0%
might	512	11.0%
probably	413	8.9%
not	408	8.7%
definitely	331	7.1%
4	299	6.4%
5	293	6.3%
or	256	5.5%
3	256	5.5%
Other values (2)	152	3.3%

Most occurring characters

Value	Count	Frequency (%)
	3664	12.5%
o	1821	6.2%
u	1744	6.0%
r	1669	5.7%
e	1662	5.7%
h	1512	5.2%
l	1488	5.1%
a	1413	4.8%
t	1251	4.3%
i	1174	4.0%
Other values (21)	11896	40.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	21630	73.8%
Space Separator	3664	12.5%
Open Punctuation	1000	3.4%
Close Punctuation	1000	3.4%
Uppercase Letter	1000	3.4%
Decimal Number	1000	3.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	1821	8.4%
u	1744	8.1%
r	1669	7.7%
e	1662	7.7%
h	1512	7.0%
l	1488	6.9%
a	1413	6.5%
t	1251	5.8%
i	1174	5.4%
p	1000	4.6%
Other values (10)	6896	31.9%

Decimal Number

Value	Count	Frequency (%)
4	299	29.9%
5	293	29.3%
3	256	25.6%
2	114	11.4%
1	38	3.8%

Uppercase Letter

Value	Count	Frequency (%)
P	413	41.3%
D	331	33.1%
M	256	25.6%

Space Separator

Value	Count	Frequency (%)
	3664	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1000	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	22630	77.3%
Common	6664	22.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	1821	8.0%
u	1744	7.7%
r	1669	7.4%
e	1662	7.3%
h	1512	6.7%
l	1488	6.6%
a	1413	6.2%
t	1251	5.5%
i	1174	5.2%
p	1000	4.4%
Other values (13)	7896	34.9%

Common

Value	Count	Frequency (%)
	3664	55.0%
(	1000	15.0%
)	1000	15.0%
4	299	4.5%
5	293	4.4%
3	256	3.8%
2	114	1.7%
1	38	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29294	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	3664	12.5%
o	1821	6.2%
u	1744	6.0%
r	1669	5.7%
e	1662	5.7%
h	1512	5.2%
l	1488	5.1%
a	1413	4.8%
t	1251	4.3%
i	1174	4.0%
Other values (21)	11896	40.6%

Before tasting the product, how likely would you be to purchase this product, if you didn't have to buy it for this study? - value
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

4	299
5	293
3	256
2	114
1	38

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5
2nd row	4
3rd row	4
4th row	5
5th row	5

Common Values

Value	Count	Frequency (%)
4	299	29.9%
5	293	29.3%
3	256	25.6%
2	114	11.4%
1	38	3.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
4	299	29.9%
5	293	29.3%
3	256	25.6%
2	114	11.4%
1	38	3.8%

Most occurring characters

Value	Count	Frequency (%)
4	299	29.9%
5	293	29.3%
3	256	25.6%
2	114	11.4%
1	38	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	299	29.9%
5	293	29.3%
3	256	25.6%
2	114	11.4%
1	38	3.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	1000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	299	29.9%
5	293	29.3%
3	256	25.6%
2	114	11.4%
1	38	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	299	29.9%
5	293	29.3%
3	256	25.6%
2	114	11.4%
1	38	3.8%

Open the packaging. How much do you like or dislike the APPEARANCE of the products? - label
Categorical

HIGH CORRELATION

Distinct	9
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

Like Very Much (8)	362
Like Extremely (9)	258
Like Moderately (7)	219
Like Slightly (6)	110
Neither Like nor Dislike (5)	35
Other values (4)	16

Length

Max length	28
Median length	18
Mean length	18.496
Min length	17

Characters and Unicode

Total characters	18496
Distinct characters	37
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.2%

Sample

1st row	Like Extremely (9)
2nd row	Like Very Much (8)
3rd row	Like Moderately (7)
4th row	Like Extremely (9)
5th row	Like Extremely (9)

Common Values

Value	Count	Frequency (%)
Like Very Much (8)	362	36.2%
Like Extremely (9)	258	25.8%
Like Moderately (7)	219	21.9%
Like Slightly (6)	110	11.0%
Neither Like nor Dislike (5)	35	3.5%
Dislike Slightly (4)	12	1.2%
Dislike Very Much (2)	2	0.2%
Dislike Extremely (1)	1	0.1%
Dislike Moderately (3)	1	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
like	984	28.7%
very	364	10.6%
much	364	10.6%
8	362	10.5%
extremely	259	7.5%
9	258	7.5%
moderately	220	6.4%
7	219	6.4%
slightly	122	3.6%
6	110	3.2%
Other values (8)	172	5.0%

Most occurring characters

Value	Count	Frequency (%)
	2434	13.2%
e	2427	13.1%
i	1243	6.7%
k	1035	5.6%
(	1000	5.4%
)	1000	5.4%
L	984	5.3%
y	965	5.2%
r	913	4.9%
l	774	4.2%
Other values (27)	5721	30.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10663	57.7%
Space Separator	2434	13.2%
Uppercase Letter	2399	13.0%
Open Punctuation	1000	5.4%
Close Punctuation	1000	5.4%
Decimal Number	1000	5.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2427	22.8%
i	1243	11.7%
k	1035	9.7%
y	965	9.0%
r	913	8.6%
l	774	7.3%
t	636	6.0%
h	521	4.9%
u	364	3.4%
c	364	3.4%
Other values (8)	1421	13.3%

Decimal Number

Value	Count	Frequency (%)
8	362	36.2%
9	258	25.8%
7	219	21.9%
6	110	11.0%
5	35	3.5%
4	12	1.2%
2	2	0.2%
1	1	0.1%
3	1	0.1%

Uppercase Letter

Value	Count	Frequency (%)
L	984	41.0%
M	584	24.3%
V	364	15.2%
E	259	10.8%
S	122	5.1%
D	51	2.1%
N	35	1.5%

Space Separator

Value	Count	Frequency (%)
	2434	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1000	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	13062	70.6%
Common	5434	29.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2427	18.6%
i	1243	9.5%
k	1035	7.9%
L	984	7.5%
y	965	7.4%
r	913	7.0%
l	774	5.9%
t	636	4.9%
M	584	4.5%
h	521	4.0%
Other values (15)	2980	22.8%

Common

Value	Count	Frequency (%)
	2434	44.8%
(	1000	18.4%
)	1000	18.4%
8	362	6.7%
9	258	4.7%
7	219	4.0%
6	110	2.0%
5	35	0.6%
4	12	0.2%
2	2	< 0.1%
Other values (2)	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18496	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2434	13.2%
e	2427	13.1%
i	1243	6.7%
k	1035	5.6%
(	1000	5.4%
)	1000	5.4%
L	984	5.3%
y	965	5.2%
r	913	4.9%
l	774	4.2%
Other values (27)	5721	30.9%

Open the packaging. How much do you like or dislike the APPEARANCE of the products? - value
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	9
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.642

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	1
5-th percentile	5
Q1	7
median	8
Q3	9
95-th percentile	9
Maximum	9
Range	8
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.201365589
Coefficient of variation (CV)	0.1572056516
Kurtosis	1.812746623
Mean	7.642
Median Absolute Deviation (MAD)	1
Skewness	-1.075708348
Sum	7642
Variance	1.443279279
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
8	362	36.2%
9	258	25.8%
7	219	21.9%
6	110	11.0%
5	35	3.5%
4	12	1.2%
2	2	0.2%
1	1	0.1%
3	1	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.1%
2	2	0.2%
3	1	0.1%
4	12	1.2%
5	35	3.5%
6	110	11.0%
7	219	21.9%
8	362	36.2%
9	258	25.8%

Value	Count	Frequency (%)
9	258	25.8%
8	362	36.2%
7	219	21.9%
6	110	11.0%
5	35	3.5%
4	12	1.2%
3	1	0.1%
2	2	0.2%
1	1	0.1%

How would you rate the AMOUNT OF SEASONING of the products? - label
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

Just about right (3)	694
Somewhat too little (2)	138
Somewhat too much (4)	125
Much too little (1)	22
Much too much (5)	21

Length

Max length	23
Median length	20
Mean length	20.454
Min length	17

Characters and Unicode

Total characters	20454
Distinct characters	26
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Somewhat too much (4)
2nd row	Just about right (3)
3rd row	Just about right (3)
4th row	Just about right (3)
5th row	Just about right (3)

Common Values

Value	Count	Frequency (%)
Just about right (3)	694	69.4%
Somewhat too little (2)	138	13.8%
Somewhat too much (4)	125	12.5%
Much too little (1)	22	2.2%
Much too much (5)	21	2.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
just	694	17.3%
about	694	17.3%
right	694	17.3%
3	694	17.3%
too	306	7.6%
somewhat	263	6.6%
much	189	4.7%
little	160	4.0%
2	138	3.5%
4	125	3.1%
Other values (2)	43	1.1%

Most occurring characters

Value	Count	Frequency (%)
	3000	14.7%
t	2971	14.5%
u	1577	7.7%
o	1569	7.7%
h	1146	5.6%
)	1000	4.9%
(	1000	4.9%
a	957	4.7%
i	854	4.2%
J	694	3.4%
Other values (16)	5686	27.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13454	65.8%
Space Separator	3000	14.7%
Close Punctuation	1000	4.9%
Open Punctuation	1000	4.9%
Uppercase Letter	1000	4.9%
Decimal Number	1000	4.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	2971	22.1%
u	1577	11.7%
o	1569	11.7%
h	1146	8.5%
a	957	7.1%
i	854	6.3%
g	694	5.2%
r	694	5.2%
b	694	5.2%
s	694	5.2%
Other values (5)	1604	11.9%

Decimal Number

Value	Count	Frequency (%)
3	694	69.4%
2	138	13.8%
4	125	12.5%
1	22	2.2%
5	21	2.1%

Uppercase Letter

Value	Count	Frequency (%)
J	694	69.4%
S	263	26.3%
M	43	4.3%

Space Separator

Value	Count	Frequency (%)
	3000	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1000	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	14454	70.7%
Common	6000	29.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	2971	20.6%
u	1577	10.9%
o	1569	10.9%
h	1146	7.9%
a	957	6.6%
i	854	5.9%
J	694	4.8%
g	694	4.8%
r	694	4.8%
b	694	4.8%
Other values (8)	2604	18.0%

Common

Value	Count	Frequency (%)
	3000	50.0%
)	1000	16.7%
(	1000	16.7%
3	694	11.6%
2	138	2.3%
4	125	2.1%
1	22	0.4%
5	21	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20454	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	3000	14.7%
t	2971	14.5%
u	1577	7.7%
o	1569	7.7%
h	1146	5.6%
)	1000	4.9%
(	1000	4.9%
a	957	4.7%
i	854	4.2%
J	694	3.4%
Other values (16)	5686	27.8%

How would you rate the AMOUNT OF SEASONING of the products? - value
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

3	694
2	138
4	125
1	22
5	21

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	3
3rd row	3
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
3	694	69.4%
2	138	13.8%
4	125	12.5%
1	22	2.2%
5	21	2.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3	694	69.4%
2	138	13.8%
4	125	12.5%
1	22	2.2%
5	21	2.1%

Most occurring characters

Value	Count	Frequency (%)
3	694	69.4%
2	138	13.8%
4	125	12.5%
1	22	2.2%
5	21	2.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	694	69.4%
2	138	13.8%
4	125	12.5%
1	22	2.2%
5	21	2.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	1000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	694	69.4%
2	138	13.8%
4	125	12.5%
1	22	2.2%
5	21	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	694	69.4%
2	138	13.8%
4	125	12.5%
1	22	2.2%
5	21	2.1%

Taste the products. How do you like the products OVERALL? - label
Categorical

HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	1.0%
Missing	98
Missing (%)	9.8%
Memory size	7.9 KiB

Like Very Much (8)	277
Like Moderately (7)	222
Like Extremely (9)	197
Like Slightly (6)	100
Dislike Slightly (4)	36
Other values (4)	70

Length

Max length	28
Median length	18
Mean length	18.64745011
Min length	17

Characters and Unicode

Total characters	16820
Distinct characters	37
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Like Slightly (6)
2nd row	Like Very Much (8)
3rd row	Like Very Much (8)
4th row	Like Extremely (9)
5th row	Like Extremely (9)

Common Values

Value	Count	Frequency (%)
Like Very Much (8)	277	27.7%
Like Moderately (7)	222	22.2%
Like Extremely (9)	197	19.7%
Like Slightly (6)	100	10.0%
Dislike Slightly (4)	36	3.6%
Neither Like nor Dislike (5)	23	2.3%
Dislike Very Much (2)	19	1.9%
Dislike Moderately (3)	19	1.9%
Dislike Extremely (1)	9	0.9%
(Missing)	98	9.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
like	819	26.9%
much	296	9.7%
very	296	9.7%
8	277	9.1%
moderately	241	7.9%
7	222	7.3%
extremely	206	6.8%
9	197	6.5%
slightly	136	4.5%
dislike	106	3.5%
Other values (8)	252	8.3%

Most occurring characters

Value	Count	Frequency (%)
e	2161	12.8%
	2146	12.8%
i	1190	7.1%
k	925	5.5%
(	902	5.4%
)	902	5.4%
y	879	5.2%
l	825	4.9%
L	819	4.9%
r	789	4.7%
Other values (27)	5282	31.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9845	58.5%
Space Separator	2146	12.8%
Uppercase Letter	2123	12.6%
Open Punctuation	902	5.4%
Close Punctuation	902	5.4%
Decimal Number	902	5.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2161	22.0%
i	1190	12.1%
k	925	9.4%
y	879	8.9%
l	825	8.4%
r	789	8.0%
t	606	6.2%
h	455	4.6%
c	296	3.0%
u	296	3.0%
Other values (8)	1423	14.5%

Decimal Number

Value	Count	Frequency (%)
8	277	30.7%
7	222	24.6%
9	197	21.8%
6	100	11.1%
4	36	4.0%
5	23	2.5%
2	19	2.1%
3	19	2.1%
1	9	1.0%

Uppercase Letter

Value	Count	Frequency (%)
L	819	38.6%
M	537	25.3%
V	296	13.9%
E	206	9.7%
S	136	6.4%
D	106	5.0%
N	23	1.1%

Space Separator

Value	Count	Frequency (%)
	2146	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	902	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	902	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11968	71.2%
Common	4852	28.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2161	18.1%
i	1190	9.9%
k	925	7.7%
y	879	7.3%
l	825	6.9%
L	819	6.8%
r	789	6.6%
t	606	5.1%
M	537	4.5%
h	455	3.8%
Other values (15)	2782	23.2%

Common

Value	Count	Frequency (%)
	2146	44.2%
(	902	18.6%
)	902	18.6%
8	277	5.7%
7	222	4.6%
9	197	4.1%
6	100	2.1%
4	36	0.7%
5	23	0.5%
2	19	0.4%
Other values (2)	28	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16820	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	2161	12.8%
	2146	12.8%
i	1190	7.1%
k	925	5.5%
(	902	5.4%
)	902	5.4%
y	879	5.2%
l	825	4.9%
L	819	4.9%
r	789	4.7%
Other values (27)	5282	31.4%

Taste the products. How do you like the products OVERALL? - value
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	1.0%
Missing	98
Missing (%)	9.8%
Infinite	0
Infinite (%)	0.0%
Mean	7.21286031

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	7
median	8
Q3	8
95-th percentile	9
Maximum	9
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.712761665
Coefficient of variation (CV)	0.2374594254
Kurtosis	2.202003011
Mean	7.21286031
Median Absolute Deviation (MAD)	1
Skewness	-1.468791199
Sum	6506
Variance	2.93355252
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
8	277	27.7%
7	222	22.2%
9	197	19.7%
6	100	10.0%
4	36	3.6%
5	23	2.3%
2	19	1.9%
3	19	1.9%
1	9	0.9%
(Missing)	98	9.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	9	0.9%
2	19	1.9%
3	19	1.9%
4	36	3.6%
5	23	2.3%
6	100	10.0%
7	222	22.2%
8	277	27.7%
9	197	19.7%

Value	Count	Frequency (%)
9	197	19.7%
8	277	27.7%
7	222	22.2%
6	100	10.0%
5	23	2.3%
4	36	3.6%
3	19	1.9%
2	19	1.9%
1	9	0.9%

How much do you like or dislike the FLAVOR of the products? - label
Categorical

HIGH CORRELATION

Distinct	9
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

Like Very Much (8)	316
Like Extremely (9)	235
Like Moderately (7)	222
Like Slightly (6)	108
Dislike Slightly (4)	44
Other values (4)	75

Length

Max length	28
Median length	18
Mean length	18.628
Min length	17

Characters and Unicode

Total characters	18628
Distinct characters	37
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Like Extremely (9)
2nd row	Like Very Much (8)
3rd row	Like Moderately (7)
4th row	Like Extremely (9)
5th row	Like Extremely (9)

Common Values

Value	Count	Frequency (%)
Like Very Much (8)	316	31.6%
Like Extremely (9)	235	23.5%
Like Moderately (7)	222	22.2%
Like Slightly (6)	108	10.8%
Dislike Slightly (4)	44	4.4%
Neither Like nor Dislike (5)	26	2.6%
Dislike Very Much (2)	20	2.0%
Dislike Moderately (3)	19	1.9%
Dislike Extremely (1)	10	1.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
like	907	26.8%
much	336	9.9%
very	336	9.9%
8	316	9.3%
extremely	245	7.2%
moderately	241	7.1%
9	235	6.9%
7	222	6.6%
slightly	152	4.5%
dislike	119	3.5%
Other values (8)	279	8.2%

Most occurring characters

Value	Count	Frequency (%)
	2388	12.8%
e	2386	12.8%
i	1323	7.1%
k	1026	5.5%
(	1000	5.4%
)	1000	5.4%
y	974	5.2%
l	909	4.9%
L	907	4.9%
r	874	4.7%
Other values (27)	5841	31.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10878	58.4%
Space Separator	2388	12.8%
Uppercase Letter	2362	12.7%
Open Punctuation	1000	5.4%
Close Punctuation	1000	5.4%
Decimal Number	1000	5.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2386	21.9%
i	1323	12.2%
k	1026	9.4%
y	974	9.0%
l	909	8.4%
r	874	8.0%
t	664	6.1%
h	514	4.7%
c	336	3.1%
u	336	3.1%
Other values (8)	1536	14.1%

Decimal Number

Value	Count	Frequency (%)
8	316	31.6%
9	235	23.5%
7	222	22.2%
6	108	10.8%
4	44	4.4%
5	26	2.6%
2	20	2.0%
3	19	1.9%
1	10	1.0%

Uppercase Letter

Value	Count	Frequency (%)
L	907	38.4%
M	577	24.4%
V	336	14.2%
E	245	10.4%
S	152	6.4%
D	119	5.0%
N	26	1.1%

Space Separator

Value	Count	Frequency (%)
	2388	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1000	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	13240	71.1%
Common	5388	28.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2386	18.0%
i	1323	10.0%
k	1026	7.7%
y	974	7.4%
l	909	6.9%
L	907	6.9%
r	874	6.6%
t	664	5.0%
M	577	4.4%
h	514	3.9%
Other values (15)	3086	23.3%

Common

Value	Count	Frequency (%)
	2388	44.3%
(	1000	18.6%
)	1000	18.6%
8	316	5.9%
9	235	4.4%
7	222	4.1%
6	108	2.0%
4	44	0.8%
5	26	0.5%
2	20	0.4%
Other values (2)	29	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18628	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2388	12.8%
e	2386	12.8%
i	1323	7.1%
k	1026	5.5%
(	1000	5.4%
)	1000	5.4%
y	974	5.2%
l	909	4.9%
L	907	4.9%
r	874	4.7%
Other values (27)	5841	31.4%

How much do you like or dislike the FLAVOR of the products? - value
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	9
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.258

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	7
median	8
Q3	8
95-th percentile	9
Maximum	9
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.721743419
Coefficient of variation (CV)	0.2372200908
Kurtosis	2.151674685
Mean	7.258
Median Absolute Deviation (MAD)	1
Skewness	-1.472560828
Sum	7258
Variance	2.9644004
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
8	316	31.6%
9	235	23.5%
7	222	22.2%
6	108	10.8%
4	44	4.4%
5	26	2.6%
2	20	2.0%
3	19	1.9%
1	10	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	10	1.0%
2	20	2.0%
3	19	1.9%
4	44	4.4%
5	26	2.6%
6	108	10.8%
7	222	22.2%
8	316	31.6%
9	235	23.5%

Value	Count	Frequency (%)
9	235	23.5%
8	316	31.6%
7	222	22.2%
6	108	10.8%
5	26	2.6%
4	44	4.4%
3	19	1.9%
2	20	2.0%
1	10	1.0%

How would you rate the FLAVOR of the products? - label
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

Just about right (3)	660
Not quite strong enough (2)	178
Slightly too strong (4)	123
Not at all strong enough (1)	23
Much too strong (5)	16

Length

Max length	28
Median length	20
Mean length	21.783
Min length	19

Characters and Unicode

Total characters	21783
Distinct characters	28
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Slightly too strong (4)
2nd row	Just about right (3)
3rd row	Just about right (3)
4th row	Just about right (3)
5th row	Just about right (3)

Common Values

Value	Count	Frequency (%)
Just about right (3)	660	66.0%
Not quite strong enough (2)	178	17.8%
Slightly too strong (4)	123	12.3%
Not at all strong enough (1)	23	2.3%
Much too strong (5)	16	1.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
just	660	15.6%
right	660	15.6%
3	660	15.6%
about	660	15.6%
strong	340	8.0%
enough	201	4.8%
not	201	4.8%
2	178	4.2%
quite	178	4.2%
too	139	3.3%
Other values (7)	347	8.2%

Most occurring characters

Value	Count	Frequency (%)
	3224	14.8%
t	2984	13.7%
u	1715	7.9%
o	1680	7.7%
g	1324	6.1%
)	1000	4.6%
s	1000	4.6%
r	1000	4.6%
h	1000	4.6%
(	1000	4.6%
Other values (18)	5856	26.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	14559	66.8%
Space Separator	3224	14.8%
Close Punctuation	1000	4.6%
Open Punctuation	1000	4.6%
Decimal Number	1000	4.6%
Uppercase Letter	1000	4.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	2984	20.5%
u	1715	11.8%
o	1680	11.5%
g	1324	9.1%
s	1000	6.9%
r	1000	6.9%
h	1000	6.9%
i	961	6.6%
a	706	4.8%
b	660	4.5%
Other values (6)	1529	10.5%

Decimal Number

Value	Count	Frequency (%)
3	660	66.0%
2	178	17.8%
4	123	12.3%
1	23	2.3%
5	16	1.6%

Uppercase Letter

Value	Count	Frequency (%)
J	660	66.0%
N	201	20.1%
S	123	12.3%
M	16	1.6%

Space Separator

Value	Count	Frequency (%)
	3224	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1000	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15559	71.4%
Common	6224	28.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	2984	19.2%
u	1715	11.0%
o	1680	10.8%
g	1324	8.5%
s	1000	6.4%
r	1000	6.4%
h	1000	6.4%
i	961	6.2%
a	706	4.5%
J	660	4.2%
Other values (10)	2529	16.3%

Common

Value	Count	Frequency (%)
	3224	51.8%
)	1000	16.1%
(	1000	16.1%
3	660	10.6%
2	178	2.9%
4	123	2.0%
1	23	0.4%
5	16	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21783	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	3224	14.8%
t	2984	13.7%
u	1715	7.9%
o	1680	7.7%
g	1324	6.1%
)	1000	4.6%
s	1000	4.6%
r	1000	4.6%
h	1000	4.6%
(	1000	4.6%
Other values (18)	5856	26.9%

How would you rate the FLAVOR of the products? - value
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

3	660
2	178
4	123
1	23
5	16

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	3
3rd row	3
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
3	660	66.0%
2	178	17.8%
4	123	12.3%
1	23	2.3%
5	16	1.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3	660	66.0%
2	178	17.8%
4	123	12.3%
1	23	2.3%
5	16	1.6%

Most occurring characters

Value	Count	Frequency (%)
3	660	66.0%
2	178	17.8%
4	123	12.3%
1	23	2.3%
5	16	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	660	66.0%
2	178	17.8%
4	123	12.3%
1	23	2.3%
5	16	1.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	1000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	660	66.0%
2	178	17.8%
4	123	12.3%
1	23	2.3%
5	16	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	660	66.0%
2	178	17.8%
4	123	12.3%
1	23	2.3%
5	16	1.6%

How much do you like or dislike the TEXTURE of the products? - label
Categorical

HIGH CORRELATION

Distinct	9
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

Like Very Much (8)	332
Like Extremely (9)	264
Like Moderately (7)	213
Like Slightly (6)	100
Neither Like nor Dislike (5)	42
Other values (4)	49

Length

Max length	28
Median length	18
Mean length	18.66
Min length	17

Characters and Unicode

Total characters	18660
Distinct characters	37
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	Like Extremely (9)
2nd row	Like Very Much (8)
3rd row	Like Moderately (7)
4th row	Like Extremely (9)
5th row	Like Extremely (9)

Common Values

Value	Count	Frequency (%)
Like Very Much (8)	332	33.2%
Like Extremely (9)	264	26.4%
Like Moderately (7)	213	21.3%
Like Slightly (6)	100	10.0%
Neither Like nor Dislike (5)	42	4.2%
Dislike Slightly (4)	32	3.2%
Dislike Moderately (3)	12	1.2%
Dislike Very Much (2)	4	0.4%
Dislike Extremely (1)	1	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
like	951	27.8%
very	336	9.8%
much	336	9.8%
8	332	9.7%
extremely	265	7.7%
9	264	7.7%
moderately	225	6.6%
7	213	6.2%
slightly	132	3.9%
6	100	2.9%
Other values (8)	266	7.8%

Most occurring characters

Value	Count	Frequency (%)
e	2442	13.1%
	2420	13.0%
i	1307	7.0%
k	1042	5.6%
(	1000	5.4%
)	1000	5.4%
y	958	5.1%
L	951	5.1%
r	910	4.9%
l	845	4.5%
Other values (27)	5785	31.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10862	58.2%
Space Separator	2420	13.0%
Uppercase Letter	2378	12.7%
Open Punctuation	1000	5.4%
Close Punctuation	1000	5.4%
Decimal Number	1000	5.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2442	22.5%
i	1307	12.0%
k	1042	9.6%
y	958	8.8%
r	910	8.4%
l	845	7.8%
t	664	6.1%
h	510	4.7%
c	336	3.1%
u	336	3.1%
Other values (8)	1512	13.9%

Decimal Number

Value	Count	Frequency (%)
8	332	33.2%
9	264	26.4%
7	213	21.3%
6	100	10.0%
5	42	4.2%
4	32	3.2%
3	12	1.2%
2	4	0.4%
1	1	0.1%

Uppercase Letter

Value	Count	Frequency (%)
L	951	40.0%
M	561	23.6%
V	336	14.1%
E	265	11.1%
S	132	5.6%
D	91	3.8%
N	42	1.8%

Space Separator

Value	Count	Frequency (%)
	2420	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1000	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	13240	71.0%
Common	5420	29.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2442	18.4%
i	1307	9.9%
k	1042	7.9%
y	958	7.2%
L	951	7.2%
r	910	6.9%
l	845	6.4%
t	664	5.0%
M	561	4.2%
h	510	3.9%
Other values (15)	3050	23.0%

Common

Value	Count	Frequency (%)
	2420	44.6%
(	1000	18.5%
)	1000	18.5%
8	332	6.1%
9	264	4.9%
7	213	3.9%
6	100	1.8%
5	42	0.8%
4	32	0.6%
3	12	0.2%
Other values (2)	5	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18660	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	2442	13.1%
	2420	13.0%
i	1307	7.0%
k	1042	5.6%
(	1000	5.4%
)	1000	5.4%
y	958	5.1%
L	951	5.1%
r	910	4.9%
l	845	4.5%
Other values (27)	5785	31.0%

How much do you like or dislike the TEXTURE of the products? - value
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	9
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.506

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	1
5-th percentile	5
Q1	7
median	8
Q3	9
95-th percentile	9
Maximum	9
Range	8
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.420556927
Coefficient of variation (CV)	0.1892561853
Kurtosis	1.632567546
Mean	7.506
Median Absolute Deviation (MAD)	1
Skewness	-1.235027458
Sum	7506
Variance	2.017981982
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
8	332	33.2%
9	264	26.4%
7	213	21.3%
6	100	10.0%
5	42	4.2%
4	32	3.2%
3	12	1.2%
2	4	0.4%
1	1	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.1%
2	4	0.4%
3	12	1.2%
4	32	3.2%
5	42	4.2%
6	100	10.0%
7	213	21.3%
8	332	33.2%
9	264	26.4%

Value	Count	Frequency (%)
9	264	26.4%
8	332	33.2%
7	213	21.3%
6	100	10.0%
5	42	4.2%
4	32	3.2%
3	12	1.2%
2	4	0.4%
1	1	0.1%

How much do you like or dislike the AFTERTASTE of the products? - label
Categorical

HIGH CORRELATION

Distinct	9
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

Like Very Much (8)	232
Like Moderately (7)	209
Like Extremely (9)	173
Neither Like nor Dislike (5)	128
Like Slightly (6)	114
Other values (4)	144

Length

Max length	28
Median length	22
Mean length	19.748
Min length	17

Characters and Unicode

Total characters	19748
Distinct characters	37
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Like Very Much (8)
2nd row	Like Very Much (8)
3rd row	Like Moderately (7)
4th row	Like Extremely (9)
5th row	Like Very Much (8)

Common Values

Value	Count	Frequency (%)
Like Very Much (8)	232	23.2%
Like Moderately (7)	209	20.9%
Like Extremely (9)	173	17.3%
Neither Like nor Dislike (5)	128	12.8%
Like Slightly (6)	114	11.4%
Dislike Slightly (4)	86	8.6%
Dislike Moderately (3)	27	2.7%
Dislike Very Much (2)	17	1.7%
Dislike Extremely (1)	14	1.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
like	856	24.4%
dislike	272	7.8%
much	249	7.1%
very	249	7.1%
moderately	236	6.7%
8	232	6.6%
7	209	6.0%
slightly	200	5.7%
extremely	187	5.3%
9	173	4.9%
Other values (8)	642	18.3%

Most occurring characters

Value	Count	Frequency (%)
	2505	12.7%
e	2479	12.6%
i	1728	8.8%
k	1128	5.7%
l	1095	5.5%
(	1000	5.1%
)	1000	5.1%
r	928	4.7%
y	872	4.4%
L	856	4.3%
Other values (27)	6157	31.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	11866	60.1%
Space Separator	2505	12.7%
Uppercase Letter	2377	12.0%
Open Punctuation	1000	5.1%
Close Punctuation	1000	5.1%
Decimal Number	1000	5.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2479	20.9%
i	1728	14.6%
k	1128	9.5%
l	1095	9.2%
r	928	7.8%
y	872	7.3%
t	751	6.3%
h	577	4.9%
o	364	3.1%
s	272	2.3%
Other values (8)	1672	14.1%

Decimal Number

Value	Count	Frequency (%)
8	232	23.2%
7	209	20.9%
9	173	17.3%
5	128	12.8%
6	114	11.4%
4	86	8.6%
3	27	2.7%
2	17	1.7%
1	14	1.4%

Uppercase Letter

Value	Count	Frequency (%)
L	856	36.0%
M	485	20.4%
D	272	11.4%
V	249	10.5%
S	200	8.4%
E	187	7.9%
N	128	5.4%

Space Separator

Value	Count	Frequency (%)
	2505	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1000	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	14243	72.1%
Common	5505	27.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2479	17.4%
i	1728	12.1%
k	1128	7.9%
l	1095	7.7%
r	928	6.5%
y	872	6.1%
L	856	6.0%
t	751	5.3%
h	577	4.1%
M	485	3.4%
Other values (15)	3344	23.5%

Common

Value	Count	Frequency (%)
	2505	45.5%
(	1000	18.2%
)	1000	18.2%
8	232	4.2%
7	209	3.8%
9	173	3.1%
5	128	2.3%
6	114	2.1%
4	86	1.6%
3	27	0.5%
Other values (2)	31	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19748	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2505	12.7%
e	2479	12.6%
i	1728	8.8%
k	1128	5.7%
l	1095	5.5%
(	1000	5.1%
)	1000	5.1%
r	928	4.7%
y	872	4.4%
L	856	4.3%
Other values (27)	6157	31.2%

How much do you like or dislike the AFTERTASTE of the products? - value
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	9
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.673

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	5
median	7
Q3	8
95-th percentile	9
Maximum	9
Range	8
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.892525469
Coefficient of variation (CV)	0.2836093915
Kurtosis	0.0314627327
Mean	6.673
Median Absolute Deviation (MAD)	1
Skewness	-0.7658938037
Sum	6673
Variance	3.581652653
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
8	232	23.2%
7	209	20.9%
9	173	17.3%
5	128	12.8%
6	114	11.4%
4	86	8.6%
3	27	2.7%
2	17	1.7%
1	14	1.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	14	1.4%
2	17	1.7%
3	27	2.7%
4	86	8.6%
5	128	12.8%
6	114	11.4%
7	209	20.9%
8	232	23.2%
9	173	17.3%

Value	Count	Frequency (%)
9	173	17.3%
8	232	23.2%
7	209	20.9%
6	114	11.4%
5	128	12.8%
4	86	8.6%
3	27	2.7%
2	17	1.7%
1	14	1.4%

Now that you have tasted the products, how likely would you be to re-purchase the products? - label
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.5%
Missing	87
Missing (%)	8.7%
Memory size	7.9 KiB

Definitely would purchase (5)	353
Probably would purchase (4)	254
Might or might not purchase (3)	142
Probably would not purchase (2)	99
Definitely would not purchase (1)	65

Length

Max length	33
Median length	31
Mean length	29.25629792
Min length	27

Characters and Unicode

Total characters	26711
Distinct characters	31
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Probably would purchase (4)
2nd row	Probably would purchase (4)
3rd row	Probably would purchase (4)
4th row	Definitely would purchase (5)
5th row	Definitely would purchase (5)

Common Values

Value	Count	Frequency (%)
Definitely would purchase (5)	353	35.3%
Probably would purchase (4)	254	25.4%
Might or might not purchase (3)	142	14.2%
Probably would not purchase (2)	99	9.9%
Definitely would not purchase (1)	65	6.5%
(Missing)	87	8.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
purchase	913	22.3%
would	771	18.8%
definitely	418	10.2%
5	353	8.6%
probably	353	8.6%
not	306	7.5%
might	284	6.9%
4	254	6.2%
or	142	3.5%
3	142	3.5%
Other values (2)	164	4.0%

Most occurring characters

Value	Count	Frequency (%)
	3187	11.9%
e	1749	6.5%
u	1684	6.3%
o	1572	5.9%
l	1542	5.8%
r	1408	5.3%
a	1266	4.7%
h	1197	4.5%
i	1120	4.2%
t	1008	3.8%
Other values (21)	10978	41.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	19872	74.4%
Space Separator	3187	11.9%
Close Punctuation	913	3.4%
Open Punctuation	913	3.4%
Uppercase Letter	913	3.4%
Decimal Number	913	3.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1749	8.8%
u	1684	8.5%
o	1572	7.9%
l	1542	7.8%
r	1408	7.1%
a	1266	6.4%
h	1197	6.0%
i	1120	5.6%
t	1008	5.1%
p	913	4.6%
Other values (10)	6413	32.3%

Decimal Number

Value	Count	Frequency (%)
5	353	38.7%
4	254	27.8%
3	142	15.6%
2	99	10.8%
1	65	7.1%

Uppercase Letter

Value	Count	Frequency (%)
D	418	45.8%
P	353	38.7%
M	142	15.6%

Space Separator

Value	Count	Frequency (%)
	3187	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	913	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	913	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	20785	77.8%
Common	5926	22.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1749	8.4%
u	1684	8.1%
o	1572	7.6%
l	1542	7.4%
r	1408	6.8%
a	1266	6.1%
h	1197	5.8%
i	1120	5.4%
t	1008	4.8%
p	913	4.4%
Other values (13)	7326	35.2%

Common

Value	Count	Frequency (%)
	3187	53.8%
)	913	15.4%
(	913	15.4%
5	353	6.0%
4	254	4.3%
3	142	2.4%
2	99	1.7%
1	65	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26711	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	3187	11.9%
e	1749	6.5%
u	1684	6.3%
o	1572	5.9%
l	1542	5.8%
r	1408	5.3%
a	1266	4.7%
h	1197	4.5%
i	1120	4.2%
t	1008	3.8%
Other values (21)	10978	41.1%

Now that you have tasted the products, how likely would you be to re-purchase the products? - value
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.5%
Missing	87
Missing (%)	8.7%
Memory size	7.9 KiB

5.0	353
4.0	254
3.0	142
2.0	99
1.0	65

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2739
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4.0
2nd row	4.0
3rd row	4.0
4th row	5.0
5th row	5.0

Common Values

Value	Count	Frequency (%)
5.0	353	35.3%
4.0	254	25.4%
3.0	142	14.2%
2.0	99	9.9%
1.0	65	6.5%
(Missing)	87	8.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
5.0	353	38.7%
4.0	254	27.8%
3.0	142	15.6%
2.0	99	10.8%
1.0	65	7.1%

Most occurring characters

Value	Count	Frequency (%)
.	913	33.3%
0	913	33.3%
5	353	12.9%
4	254	9.3%
3	142	5.2%
2	99	3.6%
1	65	2.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1826	66.7%
Other Punctuation	913	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	913	50.0%
5	353	19.3%
4	254	13.9%
3	142	7.8%
2	99	5.4%
1	65	3.6%

Other Punctuation

Value	Count	Frequency (%)
.	913	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2739	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	913	33.3%
0	913	33.3%
5	353	12.9%
4	254	9.3%
3	142	5.2%
2	99	3.6%
1	65	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2739	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	913	33.3%
0	913	33.3%
5	353	12.9%
4	254	9.3%
3	142	5.2%
2	99	3.6%
1	65	2.4%

Auto

The auto setting is an easily interpretable pairwise column metric of the following mapping: vartype-vartype : method, categorical-categorical : Cramer's V, numerical-categorical : Cramer's V (using a discretized numerical column), numerical-numerical : Spearman's ρ. This configuration uses the best suitable for each pair of columns.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Space Separator

Open Punctuation